# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from easynlp.modelzoo.file_utils import (
    _BaseLazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


_import_structure = {
    "configuration_topk": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "TopkConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_big_bird"] = ["TopkTokenizer"]

if is_tokenizers_available():
    _import_structure["tokenization_topk_fast"] = ["TopkTokenizerFast"]

if is_torch_available():

    _import_structure["modeling_topk"] = [
        "TOPK_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TopkForCausalLM",
        "TopkForMaskedLM",
        "TopkForMultipleChoice",
        "TopkForPreTraining",
        "TopkForQuestionAnswering",
        "TopkForSequenceClassification",
        "TopkLayer",
        "TopkModel",
        "TopkPreTrainedModel",
        "load_tf_weights_in_topk",
    ]

if TYPE_CHECKING:
    from .configuration_topk import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, TopkConfig

    if is_sentencepiece_available():
        from .tokenization_big_bird import TopkTokenizer

    if is_tokenizers_available():
        from .tokenization_topk_fast import TopkTokenizerFast

    if is_torch_available():
        from .modeling_topk import (
            TOPK_PRETRAINED_MODEL_ARCHIVE_LIST,
            TopkForCausalLM,
            TopkForMaskedLM,
            TopkForMultipleChoice,
            TopkForPreTraining,
            TopkForQuestionAnswering,
            TopkForSequenceClassification,
            TopkLayer,
            TopkModel,
            TopkPreTrainedModel,
            load_tf_weights_in_topk,
        )


else:
    import importlib
    import os
    import sys

    class _LazyModule(_BaseLazyModule):
        """
        Module class that surfaces all objects but only performs associated imports when the objects are requested.
        """

        __file__ = globals()["__file__"]
        __path__ = [os.path.dirname(__file__)]

        def _get_module(self, module_name: str):
            return importlib.import_module("." + module_name, self.__name__)

    sys.modules[__name__] = _LazyModule(__name__, _import_structure)